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AI Agents & LLM Integration

We design, build and deploy production-ready AI agents and LLM-powered features — chatbots that know your business, copilots inside your existing tools, and autonomous workflows that read, decide and act.

Quick facts
Engagement length
2–12 weeks typical
Pricing model
Fixed-price per milestone
Handover
Full source code + docs
Aftercare
30-day support, retainer optional
The problem

Sound familiar?

Generic ChatGPT can't answer questions about *your* data, *your* SOPs or *your* customers — and it certainly can't take action across your stack.

  • Your team copy-pastes between ChatGPT and internal tools all day
  • Off-the-shelf AI chatbots hallucinate facts about your products
  • Engineering bandwidth is the bottleneck on shipping AI features
What you get

Concrete deliverables.

  • Custom AI chatbot trained on your docs, FAQs and tickets
  • RAG pipeline with vector search, citations and confidence scoring
  • Agentic workflows (read email → categorise → draft reply → log to CRM)
  • LLM features inside your app (smart summaries, semantic search, drafting)
  • Eval harness + observability so you know quality is stable, not vibes
  • Cost guardrails — model routing, caching, prompt compression
Our stack

Tools we reach for.

  • OpenAI
  • Anthropic Claude
  • LangChain
  • LlamaIndex
  • Pinecone
  • Supabase pgvector
  • Vercel AI SDK
  • n8n
Process

From hello to shipped — and beyond.

01

Discover

We audit your workflows and identify the 1–2 places AI will pay for itself fastest.

02

Prototype

Working prototype in 2 weeks — real data, real prompts, measurable accuracy.

03

Productionise

Evals, guardrails, observability, cost controls and rollout to your users.

04

Iterate

Monthly model refresh, prompt tuning and feature expansion as the LLM landscape moves.

Questions

You asked. We answered.

  • Whichever fits the job. We routinely route between OpenAI, Anthropic Claude, Google Gemini and self-hosted models (Llama, Mistral) based on cost, latency and quality for each task. The architecture isolates the model so you can switch later without rewriting features.

Ready to scope your ai agents & llm integration project?

30-minute call, no fluff. We'll either help you scope it or honestly tell you what you should do instead.

Book a call